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Record W4246427650 · doi:10.32920/ryerson.14665686

A Finding Aid For The Models' Guild of Philadelphia Collection

2021· preprint· en· W4246427650 on OpenAlexaff
Kristin E. Dudley

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArt History and Market Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEphemeraGuildGeorge (robot)Collection developmentLibrary scienceSpecial collectionsOperations researchManagementArt historyComputer scienceHistoryEngineeringEconomics

Abstract

fetched live from OpenAlex

The following is a professional practice project which focuses on the research, methodology, and development of a finding aid for the Models' Guild of Philadelphia Collection, which currently resides in the Richard and Ronay Menschel Library at George Eastman House as part of the Dr. Louis Walton Sipley collection which was donated by 3M in 1977. The contents of this collection include business correspondence documents, ephemera, photographs, and other material dating from 1946 to approximately 1963. This project was undertaken with the goal of organizing, and inventorying the collections that it would be more accessible to researchers within the Library at George Eastman House.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.088
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.007
Science and technology studies0.0050.002
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0880.027

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.109
GPT teacher head0.258
Teacher spread0.149 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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